| Literature DB >> 36186354 |
Endale Tadesse1, Sabika Khalid1, Chunhai Gao2, Moges Assefa Legese3.
Abstract
Unlike in Western countries, scholars and the Chinese government pay less attention to the role of extracurricular activities (ECAs) in fostering children's cognitive and non-cognitive well-being. Accordingly, essential ECAs such as visual arts programs are serviced by expensive privately owned schools, creating social injustice. The primary aim of the current study is to examine whether children benefit from ECAs if parental support and guidance for managing time spent on ECAs and academics exist based on the threshold model. The study comprised over 2,400 primary school students in one Chinese province and considered the SES of the area. Surprisingly, the present study's findings illustrate that contemporary Chinese parents differ from traditionally aggressive and overbearing parents who do not value their children's interests. However, the current study finding suggested that children's participation in out-of-school visual art activities doesn't have a substantial value in promoting children's academic performance in the face of genuine interest and supportive parenting, which negates the threshold model.Entities:
Keywords: academic performance; art interest; extracurricular activities; parental support; socioeconomic status; visual art
Year: 2022 PMID: 36186354 PMCID: PMC9516296 DOI: 10.3389/fpsyg.2022.987644
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Demographic information of the sample.
| Variables | M (SD)% |
| Children age | 12.6 (2.03) |
| Gender (Female) | 852 (52.5%) |
| Percentage of only child | 14.9% |
| Percentage of at least one parent migrant | 53.3% |
|
| |
| Married | 80.1% |
| Divorce | 10.5% |
| Remarried | 7.2% |
| Widowed | 2.2% |
|
| |
| Didn’t finish primary school | 13.1% |
| Primary School | 21.4% |
| Junior high school | 36.9% |
| Vocational High school | 6.5% |
| Senior high school | 15.2% |
| Undergraduate and above | 6.8% |
|
| |
| Didn’t finish primary school | 8.6% |
| Primary School | 19.4% |
| Junior high school | 40.0% |
| Vocational High school | 7.4% |
| Senior high school | 16.4% |
| Undergraduate and above | 8.2% |
|
| |
| Under 1,000 RMB | 28.8% |
| 1,000–3,000 RMB | 44.0% |
| 3,000–6,000 RMB | 20.6% |
| 6,000–9,000 RMB | 4.4% |
| Over 10,000 RMB | 2.2% |
|
| |
| Under 1,000 RMB | 16.1% |
| 1,000–3,000 RMB | 40.4% |
| 3,000–6,000 RMB | 28.5% |
| 6,000–9,000 RMB | 11.0% |
| Over 10,000 RMB | 4.0% |
MANCOVA result of the operating variables.
| Gender | ||||||||
| Boys | Girls | F | Age | F | ||||
| M | SD | M | SD | β | SE | |||
| Art interest | 3.080 | 0.799 | 3.295 | 0.709 | 49.016 | 0.012 | 0.017 | 0.491 |
| Art participation | 2.881 | 1.023 | 3.124 | 0.984 | 35.813 | 0.035 | 0.023 | 2.331 |
| Parental support | 2.795 | 1.213 | 2.973 | 1.237 | 12.794 | 0.028 | 0.028 | 0.972 |
***p < 0.001.
Bivariate correlation analysis.
| M | SD | α | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
| FE | 3.32 | 1.459 | 0.783 | 1 | |||||||||
| FI | 3.15 | 1.495 | 0.813 | 0.635 | 1 | ||||||||
| ME | 2.49 | 1.020 | 0.821 | 0.241 | 0.192 | 1 | |||||||
| MI | 2.10 | 0.941 | 0.760 | 0.201 | 0.281 | 0.218 | 1 | ||||||
| Chinese | 76.50 | 0.154 | 0.803 | 0.425 | 0.301 | 0.299 | 0.373 | 1 | |||||
| English | 79.81 | 0.320 | 0.751 | 0.345 | 0.333 | 0.326 | 0.307 | 0.751 | 1 | ||||
| Math | 77.57 | 0.457 | 0.830 | 0.463 | 0.333 | 0.323 | 0.430 | 0.438 | 0.629 | 1 | |||
| AI | 3.1930 | 0.761 | 0.816 | 0.138 | 0.149 | 0.551 | 0.352 | 0.791 | 0.596 | 0.577 | 1 | ||
| ARP | 3.0080 | 1.010 | 0.767 | 0.166 | 0.276 | 0.580 | 0.469 | 0.570 | 0.794 | 0.667 | 0.818 | 1 | |
| PS | 2.8884 | 1.229 | 0.810 | 0.235 | 0.358 | 0.654 | 0.562 | 0.010 | 0.092 | 0.139 | 0.611 | 0.600 | 1 |
All correlation values are significance < 0.001. FE, father education; FI, father monthly income; ME, mother education; MI, mother monthly income; AI, art interest; ARP, art participation; PS, parental support.
Direct and indirect effects.
| Indirect effect path | Mediators | Effect | 95% CI |
| SES-PS-AP | Parental support | 0.001 | [–0.021, 0.018] |
| SES-ARP-AP | Art participation | 0.002 | [–0.031, 0.041] |
| SES-AI-AP | Art interest | 0.03 | [0.041,0.001] |
| SES-PS-ARP-AP | Parental support and art participation | 0.0003 | [–0.010, 0.022] |
| SES-AI-PS-AP | Art interest and parental support | 0.001 | [–0.001, 0.0034] |
| SES-AI-ART-AP | Art interest and art participation | 0.003 | [–0.051, 0.073] |
| SES-AI-PS-ARP-AP | Art interest, parental support, and art participation | 0.001 | [0.0081, 0.0098] |
No start = p < 0.001, *p < 0.01, **p < 0.05, ***not significance; AP, academic performance.
FIGURE 1Structural equation model analysis to test the threshold model. No start = p < 0.001, **p < 0.05, ***not significance; FE, father education; FI, father monthly income; ME, mother education; MI, mother monthly income; SES, socioeconomic status; AP, academic performance.